Podcasts about Product management

Nick Brown and Smith Freeman of SVS Sound On today's show we have an interview with Nick Brown (VP of Marketing) and Smith Freeman (Senior Director of Product Management) at SVS Sound.  We discuss their new Auto EQ, the upcoming Soundbar and general audio chat. SVS Launches First-Ever Soundbar and New 3000 R|Evolution Series Subwoofers at CES 2026 SVS AUTO EQ Frequently Asked Questions

In this episode, Madelyn O'Farrell interviews Eesha Pathak, Senior Director of Product Management at Crusoe, about her unconventional career from software engineering and branding to leading enterprise AI at Google and now building AI-first infrastructure. They discuss Crusoe's vertically integrated, energy-first approach to cloud and data centers, capturing abundant energy (like stranded gas and renewables) and turning “electrons into intelligence” via GPUs and a custom cloud stack. Eesha explains how Crusoe's gigawatt-scale campuses and modular Spark edge deployments complement each other to deliver both scale and low-latency inference, dives into the Managed AI platform with its model marketplace, self-serve and tailored deployments, fine-tuning, and upcoming reinforcement learning, and highlights why judgment and holistic thinking are critical in product and engineering. She also unpacks Crusoe's close partnership with NVIDIA, its role in enabling physical AI and robotics with low-latency compute, a flexible data and partnership strategy, and her long-term vision of Crusoe becoming the most helpful company for people building AI, so customers can focus on their products instead of wrestling with infrastructure. Highlights from their conversation include: Eesha's Unconventional Career Path from Bosch to Google to Crusoe (0:29) Why Energy Is the Real Bottleneck for AI Infrastructure (3:30) What Energy-First Means and Bringing Compute to Abundant Power (5:04) Spark Modular Data Centers and Edge Zones Strategy (6:22) How Gigawatt Campuses and Edge Zones Work Together (8:26) Importance of Judgment in Product and Engineering Decisions (12:49) NVIDIA Partnership and Day Zero Nemotron Model Launches (15:25) Physical AI, Robotics, and Low-Latency Edge Inference (17:21) Crusoe's Data Strategy and Partnership Approach (21:52) Vision for Crusoe as Most Helpful Company for AI Builders (22:47) Closing Thoughts and Episode Wrap-Up (24:09) Dynamo Ventures is a venture firm backing founders upgrading the physical economy. As intelligence moves into critical infrastructure and technology collides with physics, industry is entering a new era of transformation - the industrial renaissance. Born from the dirt and grit of supply chains and shaped by operations, not spreadsheets, Dynamo focuses on the complex realities of building in the real world. We invest in companies transforming infrastructure, manufacturing, logistics, transportation, and the systems that power global commerce. Dynamo works closely with founders who combine ambition with a bias to action, bringing a builder mindset to venture capital through deep operational insight, systematic pressure-testing and hands-on partnership. Our purpose is simple: to back the relentless shaping the industrial renaissance. Learn more at www.dynamo.vc. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Some of the best manufacturing advice comes down to one simple idea - buy back your weekends.In this bonus episode of Manufacturing Happy Hour, Chris is joined by Patrick Carmitchel, VP of Product Management and Dustin Moore, Condition Monitoring Engineer Manager at AssetWatch, to break down what condition monitoring and predictive maintenance looks like in practice, no jargon required.They get into the differences between preventative and predictive maintenance, why the biggest ROI often comes from just doing one thing well, and how AssetWatch's own founding story led them from wireless power research into one of the fastest-growing names in industrial monitoring. Along the way, Dustin shares a personal philosophy that gives this episode its name.In this episode, find out:Why doing one thing well with your most critical assets can catch the majority of issues before you need to expand into other monitoring methodsHow a maintenance technician went from feeling threatened by AssetWatch to calling it the best thing that ever happened to his jobWhat criteria actually determine whether an asset is "critical" - and why size has nothing to do with itHow AssetWatch went from researching wireless phone charging to building one of the fastest-growing platforms in industrial monitoringEnjoying the show? Please leave us a review here. Even one sentence helps. It's feedback from Manufacturing All-Stars like you that keeps us going!Tweetable Quotes:"The proof is in the pudding... once they start seeing the results on their end - that bearing running a lot cooler, a lot smoother - that's when they come around." - Dustin Moore, Condition Monitoring Engineer Manager at AssetWatch"You've got to start somewhere. Meet maintenance teams where they're at - they're all in different parts of their journey." - Dustin Moore, Condition Monitoring Engineer Manager at AssetWatch"Predictive maintenance means you're looking at early warning signs... it's about your ability to be able to plan so that you do not have unplanned downtime." - Patrick Carmitchel, VP of Product Management at AssetWatchLinks & mentions:AssetWatch combines vibration, temperature, and oil analysis in one platform for a holistic asset health view, detecting issues that a single technique might miss.Make sure to visit https://manufacturinghappyhour.com for detailed show notes and a full list of resources mentioned in this episode. Stay Innovative, Stay Thirsty.

Demandbase's Vice President of Product explains why they deleted a fully-approved AI architecture two months before launch — and how the rebuild surpassed some of their customer's highest expectations.Topics Include:AWS's Achint Naveen introduces Demandbase's VP of Product, Chad HoldorfDemandbase unifies sales, marketing, and revenue data into one viewNovember's architecture used many specialized agents, all committee-approvedThat design failed constantly — only a 30% conversation pass rateOn May 11th, the team deleted the entire architectureRebuilt in May with AWS Strands: one simpler, flexible agentPass rate leapt from 30% to 94% almost overnightWeek two retention rose from the low 20s to upper 80sWeekly active users grew 45% week-over-week after launchReal customer interviews play, calling the new AI a "dream"One user cut an hour-long report down to fifteen minutesCustomers now trace ad impressions directly to closed dealsHoldorf's advice: delete and rebuild when architecture gets too complexAWS's Naveen walks through Bedrock, AgentCore, and StrandsAgentCore Memory highlighted as Demandbase's next area of explorationParticipants:Chad Holdorf – Vice President of Product Management, DemandbaseAchint Naveen – Sr Account Manager, Amazon Web Services See how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

On a Friday, one of Miro's architects set his agents loose on the company's AI engine. Nobody asked him to. By Monday, he demoed a full refactor. Tuesday, it had a kickoff, and a few months later it was the headline of their user conference. Here's the twist. Miro has refused to rebuild its process around AI. They've kept the same three milestones they've always had...they just changed what happens around them. Our guest today is Jeff Chow, Miro's Chief Product & Technology Officer. He helps lead a company whose entire job is helping cross-functional teams work better together, which makes it an unusually good place to watch what AI is actually doing to how teams build. Jeff's take: AI hasn't moved the milestones — It's rewritten everything that happens between them. In this episode, he shares: The false confidence trap of building alongside an agent that tells you every idea is brilliant, and why that makes the moments where humans actually align more important than ever Why product "process barnacles" accrete on companies as they scale, and how that quietly turns a culture of invention to optimization at just the wrong time And why saying no is the next organizational crisis. Now that anyone can build almost anything, it's become clear that coding was never the hard part Links Jeff's LinkedIn: https://www.linkedin.com/in/jjchow/ Miro: https://miro.com/ Chapters 0:00 Introduction 2:20 Why Miro refused to rebuild its process around AI 5:20 What shows up at kickoffs and solutions reviews now 12:15 The false confidence trap: Say no to "yes-man" agents 14:30 From optimization culture to invention culture 18:20 How one IC's side project reshaped Miro's AI engine 22:30 Process barnacles and why saying no is the next crisis 27:30 Conclusion Follow LaunchPod on YouTube We have a new YouTube page! Watch full episodes of our interviews with PM leaders and subscribe! What does LogRocket do? LogRocket's Galileo AI watches user sessions for you and surfaces the technical and usability issues holding back your web and mobile apps. Understand where your users are struggling by trying it for free at LogRocket.com.Special Guest: Jeff Chow.

On entend encore souvent que le Product Marketing est une fonction immature.Je ne suis plus vraiment d'accord.Aujourd'hui, les débats ne portent plus seulement sur la définition du rôle. On parle mesure d'impact, contribution au business et place stratégique dans l'organisation.Dans ce hors-série, je partage 7 réflexions issues de mon analyse du baromètre français des PMM présenté lors de l'évent PMM Kitchen :

We've got something different today: a live demo and walkthrough of how an actual product leader built a real, PM-focused tool with AI. Our guest today put her proverbial money where her mouth is when she got sick of the AI hype and anxiety and grew tired of writing the same status update five different ways for five different audiences. So she decided to build her way out of the never-ending loop of draft, then repackage again and again and again. And today, she's going to demo it for us and show how she and a team of collaborators built an entire AI PM operating system to help with the myriad of similar, repetitive tasks that product leaders face! Parul Goel has spent nearly 20 years in product, including almost nine at PayPal building a zero-to-one payments platform for marketplaces, and her recent stint as Senior Director of Product at Indeed.com, leading the payments and billing platform through a major scaling challenge. In this episode, Parul shows: A live demo of the PM operating system she built with 3 fellow product leaders and the four-layered architecture behind it Why the "context library" and codifying company identity, stakeholders, and voice is the layer most people skip, BUT the one that matters most And how the system handles core PM workflows like exec updates, cross-functional communication, customer interview synthesis, and PRD drafts Links Parul's LinkedIn: https://www.linkedin.com/in/pg2121/ PM OS GitHub project: https://github.com/goelparul-cyber/AI-PM-OS Parul's collaborators: Vidya Sarangapan: https://www.linkedin.com/in/vsara/ Priyank C.: https://www.linkedin.com/in/priyankachaturvedimit/ Bhagyashree Prabhakar: https://www.linkedin.com/in/bhagya-prabhakar/ Chapters 00:00 Introcution 02:58 The inspiration behind Parul's PM OS tool 07:26 Live Demo: Exec update (Video version on YouTube!) 12:54 Other PM OS skills 13:55 Why building the context library is the most important part of the process 20:48 The future of PM with AI 21:57 Conclusion Follow LaunchPod on YouTube We have a new YouTube page! Watch full episodes of our interviews with PM leaders and subscribe! What does LogRocket do? LogRocket's Galileo AI watches user sessions for you and surfaces the technical and usability issues holding back your web and mobile apps. Understand where your users are struggling by trying it for free at LogRocket.com.Special Guest: Parul Goel.

Episode subtitle: Intro:Jithu Gopal is a fintech product leader based in Bangalore, with 18+ years across engineering, consulting, and product. He is AVP Product at Scripbox and currently owns the charter of building the advisory experience that'll help a million families make confident choices about their portfolios.Before Scripbox he co-founded Nilenso, a boutique technology consulting firm, where he built a social network, rewrote the checkout experience for a ticketing platform, and took on a few other projects.He is curious about what creates habits and what motivates people.Shownotes:In this conversation, Jithu Gopal and Chitra Gurjar explore -Working as a software engineer and an early observer of the cost of quality in workActive community-based learning from Java and Ruby user groups in early careerBuilding a social network , learning the “ethics” of software engineering, recognizing and applying design patterns Work at Nilenso, an employee-owned cooperative-like company, applying functional programming principlesLiving the principles of “being agile”, using Test-Driven-Development to shape a problem and approach it from the outside, rather than just build, staying in the problem spaceThe versions of software engineering, 1.0 and 2.0Indispensable systems thinkingShifts in Product Management, building strong foundations of working with engineering using high agency and trust AI Mavens, followers, the power and tools to leverage knowledge and do way moreExamining AI in layers for any organization or system How we organize ourselves differently in the age of machinesKeeping the “Why” in focus with organization memory and problem memoryWhat “post AI” looks like - awakening consciousness and invoking agency, AI cycles bringing more value addSocial bonding as a key to young people's future of work and lifeBooks that have had a powerful influence on him.For aspiring software engineers to keep building and asking about what “good” looks like:Few conversations flow back and forth in time, not unlike when you meet friends from childhood. In this episode of the Software People Stories podcast, I found myself having tremendous deja-vu moments as Jithu Gopal shared his flow of thoughts across various aspects of software engineering through his 18 plus years of work, how his interests and ways of connecting what he reads, experiences and works with have significance and relevance in the AI whorl that seems to be sweeping us with it and what habits and disciplines can hold us through as we begin to figure out new ways of working, learning and what the future might hold for our children and aspiring engineers. Listen on.

In this episode, eVTOL Insights' Jason Pritchard is joined by Glenn to explore the increasingly critical role of wiring and electrical architecture in Advanced Air Mobility. Glenn discusses how the industry has moved beyond prototype development towards certification, repeatable production and long-term reliability, highlighting the challenges associated with high-voltage systems, partial discharge, EMI, thermal management and fault containment. He explains why electrical architecture must be considered from the earliest stages of aircraft development and examines the manufacturing and supply chain challenges that emerge as programmes transition towards production. The conversation also explores lessons AAM can take from commercial and defence aviation, recent progress towards certification, and emerging technologies including intelligent power distribution, embedded diagnostics and actively cooled conductors. Glenn also shares his vision for what the industry could achieve by 2031 and the role suppliers such as WireMasters can play in supporting reliable, certifiable aircraft at fleet scale.

Most "people problems" are structural problems wearing a human face mask.Product Manager Brian and Enterprise Business Agility Leader Om dissect Molly Graham's Waterline Model! Listen or watch as we debate whether this framework is the most actionable restatement of systems thinking in decades or just Deming in a wetsuit. Stick around to the end and you'll know exactly where your org skips diagnosis and jumps straight to blame.Other issues discussed are:Why leaders default to firing individuals instead of fixing broken role definitionsThe four-level diagnostic (structure, dynamics, interpersonal, individual) most managers ignoreHow overlapping ownership and conflicting goals manufacture "personality clashes"Why changing what you reward is harder than writing new process documentationThe coaching judgment no framework can teach you: when to stop snorkeling and diveA practical test: ask three people their goals and see if any answers matchFor product managers, agile coaches, and tech leaders tired of watching teams churn through good people.#SystemsThinking #Leadership #TeamDysfunctionMolly Graham, Lenny's Newsletter, W Edwards Deming, National Outdoor Leadership School (NOLS), The Waterline ModelLINKSYouTube: https://www.youtube.com/@arguingagileSpotify: https://open.spotify.com/show/362QvYORmtZRKAeTAE57v3Apple: https://podcasts.apple.com/us/podcast/agile-podcast/id1568557596INTRO MUSICToronto Is My BeatBy Whitewolf (Source: https://ccmixter.org/files/whitewolf225/60181)CC BY 4.0 DEED (https://creativecommons.org/licenses/by/4.0/deed.en)

Everyone loves to romanticize the founder who starts from zero. But most successful product and digital leaders will likely find themselves using a slightly different flavor of that skill: intrapreneurship — building something new inside an established company...whether it be a business unit, go-to-market approach, product, or other. Gaurav Jaiswal has done exactly this several times. At SAP, he co-founded SAP Digital, a B2B2C business built to let anyone in the world discover, try, and buy SAP products — taking it from zero to $180 million in just a couple of years. Most recently, as VP of Digital Product at Pearson, he did it again, launching a subscription e-textbook product from idea to market in six months, and scaling to $65 million in just about 2 years. In this episode, Gaurav shares: How he got SAP's board to approve an entirely new business unit in just six months, and the framework he used to get market traction just as quickly How he took those lessons to Pearson, a 150-year-old publishing company, and helped turn it into one that runs like a software business And why building inside a public company is a trade — you get the brand and customer base built in, but you're on the hook for the full legacy culture and scrutiny that comes from operating in a larger, established company Links LinkedIn: https://www.linkedin.com/in/gauravjaiswal/ Chapters 00:00 Introduction 02:30 Gaurav's digital product origin story 05:43 Scaling to 180M ARR 06:52 Gaurav's four P's framework 14:54 Launching Pearson+ and scaling 19:46 The importance of intraprenuership 23:31 Conclusion Follow LaunchPod on YouTube We have a new YouTube page! Watch full episodes of our interviews with PM leaders and subscribe! What does LogRocket do? LogRocket's Galileo AI watches user sessions for you and surfaces the technical and usability issues holding back your web and mobile apps. Understand where your users are struggling by trying it for free at LogRocket.com.Special Guest: Gaurav Jaiswal.

Thank you for all of your support. Please let us know what you think about our podcast and what topic you may want to hear from us. Leaders, Lead Well!Artificial intelligence is changing almost every aspect of how we work, how we make decisions, how we learn, and how we lead. And that raises an important question for our profession:What happens to executive coaching as AI becomes more sophisticated?Will AI eventually replace certain aspects of coaching? Will it simply become another tool in the coach's toolkit? Or could AI actually make the human side of executive coaching more important than ever?To help us explore those questions, we're joined today by Mike Lyons and Greg Pfister, co-founders of KaiRise.Mike and Greg are practitioners with decades of experience in agile product delivery and building teams that actually ship. Together, they've taken that experience and built an AI-powered learning platform designed to adapt to each learner's individual role, context, and goals.And that's where this conversation gets really interesting.Greg Pfister and Mike Lyons, co-founders of KaiRise, join Rich Baron and Maikel Bailey on this episode of Mainline Executive Coaching ACT as we dive into one of the most important conversations facing leaders and executive coaches today: How will artificial intelligence and executive coaching coexist to create stronger leaders and better organizations? Together, we explore how AI is changing the way we learn, work, make decisions, and develop talent—and where technology ends and the human element of coaching begins. Mike Lyons and Greg Pfister, the co-founders of KaiRise, are practitioners with decades of experience in agile product delivery and building teams that actually ship. Together they've built AI-powered learning that adapts to each learner's role, context, and goals. Not one-size-fits-all coaching, but a personalized experience from start to finish. Their latest course, the ICAgile-certified Product Management program, is getting strong reviews from practitioners in the field. Listeners can use code 'coaching' for 20% off any KaiRise course at kairise.com. Leaders, Lead Well!Thank you to all of our listeners in over 140 countries and 1,600 cities worldwide, we greatly appreciate your support! We truly hope that what we bring to our listeners will improve your ability as leaders.Mainline Executive Coaching ACT has been recognized by FeedSpot as one of the top Executive Coaching Podcast in the world based on thousands of podcasts on the web and ranked by traffic, social media, followers & freshness.https://blog.feedspot.com/executive_coaching_podcasts/John Mattone Global:                                                                                                          https://johnmattone.com/Rich Baron:rbaron@richbaronexecutivecoaching.comhttps://www.linkedin.com/in/rich-baron/rich@johnmattone.comMaikel Bailey:mbailey@intelligentleadershipec.comhttps://www.linkedin.com/in/maikelbailey/https://maikelbailey.com/

Always-on access might sound convenient, but it can quietly become a serious security risk.

Why do so many product transformations fail? Because leaders treat product like a science when it's mostly art.Vidya Dinamani and Heather Samarin sit down with Chris Herring, Head of Product at Stride, the edtech company serving K-12 students through virtual public schools. Chris has been building AI products for over a decade — well before it was fashionable — including StoryStudio and MathBee, the math game that helped kids find out math doesn't suck.From refusing to imitate what worked elsewhere, to piloting change with four teams before scaling to forty, to why trust is the currency that buys you permission to rebel, Chris shows what it takes to drive transformation from the inside.

Votre produit a plein de fonctionnalités trop cool… mais vos prospects ne comprennent toujours pas pourquoi ils devraient le choisir ?Le problème vient souvent d'un positionnement flou et d'un messaging centré sur le produit plutôt que sur la valeur apportée au client.Dans cet épisode Décrypte, je vous explique le Benefit Ladder, un framework largement utilisé en Product Marketing pour relier les fonctionnalités d'un produit aux bénéfices qu'il apporte, jusqu'à la valeur émotionnelle perçue par vos clients.Je vous montre également comment utiliser ce framework avec un exemple concret basé sur Granola.Dans cet épisode, découvrez :

We're kicking off a new series with a very timely question: what does product management look like in the age of AI? In this first episode, Matt and Moshe set the stage for *First Principles and Beyond for Product Managers in the Age of AI*, exploring how PM work is changing, what should stay human, and where AI can genuinely help. The conversation ranges from Matt's work implementing software for government agencies to Moshe's hands-on experiments with AI coding tools like Cursor, Kirk, and Claude Code. Along the way, they dig into the tension between speed and judgment, debate what “product sense” really means, and start shaping the core theme of the series: identifying the first principles of product management before layering AI on top. Join Matt and Moshe as they explore: - How product management is evolving as AI becomes part of the workflow - Why human-centered value delivery still matters, even when tools can generate work faster - What “product sense” means in practice, and whether it can be defined as a set of first principles   - Experiments with AI coding tools, local development, and the possibilities of building faster with more leverage - The idea of using AI to augment product work without removing human judgment from the loop - Bring it to the audience by polling where PMs should remain involved, and where AI can take more of the load - And much more! Want to share your thoughts on the series or follow along?-  - Product for Product Podcast: http://linkedin.com/company/pr... - Matt Green: https://www.linkedin.com/in/ma... - Moshe Mikanovsky: http://www.linkedin.com/in/mik... Note: Any views mentioned in the podcast are the sole views of our hosts and guests, and do not represent the products mentioned in any way. Please leave us a review and feedback ⭐️⭐️⭐️⭐️⭐️

To most people, DoorDash is an easy fix when you just need food. Our guest today would argue that's the least interesting thing they do. Vassili Samolis has been VP of Product at DoorDash for 5 years and counting, leveraging lessons from Instagram & Pinterest to help turn a simple food delivery app into a high-trust local commerce platform for the more than one million merchants who use it to help drive their businesses. In this episode, Vassili shares: How DoorDash built a successful local commerce platform based on extreme alignment - they only get paid when a business gets a customer and a consumer finds the food that they want Why he thinks there's never been a better time to be a PM - not in spite of code getting cheaper but because of it And how a crowded field of a million restaurants, bodegas, and local shops taught him that the best products often start with a single, very specific customer story Links LinkedIn: https://www.linkedin.com/in/vassilisamolis/ DoorDash: https://www.doordash.com/ Chapters 00:00: Introducing Vassili and DoorDash's mission to empower local businesses 02:29 Why local restaurants struggle to survive and grow 04:27: TL;DR into Vassili's product background: From Instagram and Pinterest to DoorDash 05:39: Turning a delivery app into a full local commerce platform 07:23: Product lessons and first principles thinking 12:00: The most unexpected customer insight Vassili and his team discovered 14:10: AI and the future of product teams 17:52: What AI deployment looks like on Vassili's team 18:50: Conclusion Follow LaunchPod on YouTube We have a new YouTube page! Watch full episodes of our interviews with PM leaders and subscribe! What does LogRocket do? LogRocket's Galileo AI watches user sessions for you and surfaces the technical and usability issues holding back your web and mobile apps. Understand where your users are struggling by trying it for free at LogRocket.com.Special Guest: Vassili Samolis.

What happens to compliance when enterprise voice moves to the cloud?In this UC Today interview, Marcus Law speaks with Matthew Carey, Director of Product Management at Theta Lake, about why cloud voice migration is not just an IT modernization project. As organizations move away from legacy on-premises phone systems, Carey explains how the compliance model changes, where governance gaps can appear, and why regulated businesses need to think beyond basic call recording.The conversation explores how communications now span voice, chat, video, screen sharing, SMS, whiteboards, email, and AI-generated summaries. Carey argues that compliance teams need to reconstruct the full conversation lifecycle, not simply capture individual calls. He also discusses the risks of fragmented platforms, the limits of legacy recording tools, and the importance of involving compliance teams before users go live.Carey also looks at the role of artificial intelligence in unified communications, including why organizations must start governing not only what employees say, but what AI says on their behalf.Watch the full discussion to learn how IT and compliance leaders can prepare for cloud voice migration, reduce risk, and build a governance foundation that can keep pace with modern UC platforms.For more Unified Communications & Collaboration Tech News visit https://www.uctoday.com/

Is your meeting room ready for the agentic AI era?At InfoComm 2026, UC Today speaks with Sohail Tariq, Senior Director of Product Management at Microsoft, and Nathan Glotfelty, Senior Director of Alliances at Q-SYS, following their Innovation Stage session on the future of intelligent workspaces.The conversation explores how Microsoft Teams Rooms, Copilot, Facilitator room skills, and Q-SYS hardware and software are coming together to give AI richer context from both the digital and physical meeting environment.Sohail and Nathan also discuss Microsoft's Redmond Experience Center deployment, where Q-SYS has helped consolidate room systems onto a single software-defined AV platform. They explain why visibility, reliability, and accurate room data are becoming critical as enterprise IT teams prepare spaces for more intelligent, automated, and scalable collaboration experiences.The interview also covers the latest phase of the Microsoft and Q-SYS partnership, including the launch of a Microsoft Teams Rooms on Windows bar and a Q-SYS Scheduling Panel built on Microsoft Device Ecosystem Platform (MDEP).

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Tom Verrilli is the chief product officer at Whatnot, a live shopping platform that's become the fastest-growing U.S. marketplace business in history, with over $8 billion in GMV. Before joining Whatnot, Tom was CPO at Twitch and director of product growth at Twitter (during one of the most turbulent periods in the company's history).In our in-depth conversation, we discuss:1. Why Whatnot's product team was founded on the premise “we regret that product management exists”2. How AI is reshaping the PM role3. What Tom looks for when hiring PMs4. The shift toward senior ICs doing the work5. How AI has transformed data science at Whatnot6. Tom's “play the accordion” mental model7. Why “hire great people and get out of their way” fails8. His biggest lessons from his time at Twitter—Brought to you by:WorkOS—Make your app enterprise-ready, with SSO, SCIM, RBAC, and moreMercury—Radically different banking, now with Command—Episode transcript: https://www.lennysnewsletter.com/p/this-cpo-regrets-that-product-management—Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0—Where to find Tom Verrilli:• X: https://x.com/tdrobbo• LinkedIn: https://www.linkedin.com/in/tom-robertson-042—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction(02:40) “We regret that product management exists”: what it means and why(08:30) When specialization makes sense, and when it doesn't(15:20) How Whatnot structures its PM org(17:28) What 31,832 PM applications revealed about the function(19:40) How to develop systems thinking(22:10) The shift to senior ICs doing IC work(32:26) Advice for PMs struggling in today's market(35:22) How AI has transformed work at Whatnot(41:14) The data scientist problem(42:48) Which roles are trending up and down(44:48) What the product team of the future looks like(46:29) Why core PM skills are the most durable in an AI world(49:23) How to get the most out of the people you hire(53:32) Navigating the CPO-founder relationship(57:34) Advice for aspiring CPO's(59:16) How to know when to stand firm and when to step back(01:01:38) Play the accordion: balancing strategic vision with fast iteration(01:06:35) Agentic commerce vs. live commerce(01:09:46) Lessons from Twitter(01:13:07) Failure corner(01:15:45) Lightning round and final thoughts—Referenced:• Whatnot: https://www.whatnot.com• Building, and Whatnot: https://www.linkedin.com/pulse/building-whatnot-tom-verrilli-bwkdc• Twitch: https://www.twitch.tv• Why Netflix is betting on systems thinkers—not specialists—in the AI era | Elizabeth Stone (CPTO): https://www.lennysnewsletter.com/p/netflix-cpto-on-ai-and-the-future• Peter Bailis on LinkedIn: https://www.linkedin.com/in/pbailis• Mike Krieger on LinkedIn: https://www.linkedin.com/in/mikekrieger• Anthropic's CPO on what comes next | Mike Krieger (co-founder of Instagram): https://www.lennysnewsletter.com/p/anthropics-cpo-heres-what-comes-next• Ben Kus on LinkedIn: https://www.linkedin.com/in/benkus• Henry Shi on LinkedIn: https://www.linkedin.com/in/henrythe9th• Hex Threads: https://hex.tech/product/threads• Product management theater | Marty Cagan (Silicon Valley Product Group): https://www.lennysnewsletter.com/p/product-management-theater-marty• Grant LaFontaine on LinkedIn: https://www.linkedin.com/in/grantlafontaine• Logan Head on LinkedIn: https://www.linkedin.com/in/logan-head• Emmett Shear on LinkedIn: https://www.linkedin.com/in/emmettshear• Kara Swisher on X: https://x.com/karaswisher• Jeff Bezos: Amazon and Blue Origin—Lex Fridman Podcast: https://www.youtube.com/watch?v=DcWqzZ3I2cY• Star City on AppleTV+: https://tv.apple.com/us/show/star-city/umc.cmc.2l8p785osmtmiyk64bh6tfde1• For All Mankind on AppleTV+: https://tv.apple.com/us/show/for-all-mankind/umc.cmc.6wsi780sz5tdbqcf11k76mkp7• Service NSW Mobile App: https://www.service.nsw.gov.au/services/service-nsw-mobile-app• Rudyard Kipling: https://en.wikipedia.org/wiki/Rudyard_Kipling• E-fish.com: https://www.e-fish.com—Recommended books:• The Hard Thing About Hard Things: Building a Business When There Are No Easy Answers―Straight Talk on the Challenges of Entrepreneurship: https://www.amazon.com/dp/0062273205• The Purpose Driven Church: Every Church Is Big in God's Eyes: https://www.amazon.com/dp/0310201063• Babel: Or the Necessity of Violence: An Arcane History of the Oxford Translators' Revolution―An Historic Fantasy of Dark Academia: https://www.amazon.com/Babel-Necessity-Violence-Translators-Revolution/dp/0063021439—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

Discover how seasoned technology executive Ken Gavranovic shares insights on building innovative products, leading digital transformation, and harnessing AI to drive business growth. Whether you're an aspiring entrepreneur or a product leader, learn practical strategies to navigate and excel in the tech landscape.In this episode:Ken Gavranovic's journey from early computer programming to leading multi-million dollar venturesThe importance of clear success metrics versus activity metrics in product developmentHow observability and customer feedback drive product improvementsStrategies for managing cultural and organizational change during transformationThe impact of AI on engineering productivity and product innovationPractical tips for setting goals versus making rigid commitmentsThe role of risk-taking in entrepreneurial successFuture trends in AI and how they will shape business and customer experiencesLinks from the Show:Website: Ken GavranovicBook: Colombus DayMore by Kyle:Follow Prodity on TikTokFollow Kyle on TikTokSign up for the Prodity Newsletter for more updates.Kyle's writing on MediumProdity on MediumLike our podcast, consider Buying Us a Coffee or supporting us on Patreon

Eric Zenz, VP of Product Management at Salesforce, leads Agentforce Marketing, and he's here to explain what an AI agent should really be doing for Marketers.Plus, why 75% of Marketers have adopted AI but their output hasn't moved an inch, and the 1 thing that separates a useless agent from an outstanding one. And finally, the AI hill Eric will die on (spoiler: it comes down to your data).If you're a Marketer who wants to understand how AI agents actually fit into your team, this episode is for YOU.Do me a favor: follow The Marketing Millennials and leave a rating. Takes ten seconds and helps more Marketers find the show. Follow Eric: LinkedIn: https://linkedin.com/in/ericzenz/ Follow Daniel: YouTube: https://www.youtube.com/@themarketingmillennials/featured Twitter: https://www.twitter.com/Dmurr68 LinkedIn: https://www.linkedin.com/in/daniel-murray-marketing Sign up for The Marketing Millennials newsletter: www.workweek.com/brand/the-marketing-millennials Daniel is a Workweek friend, working to produce amazing podcasts. To find out more, visit: www.workweek.com

By Doug Green “Modernization does not have to mean abandoning the reliability, security and control organizations already depend on.” In this Technology Reseller News podcast, Darrell Butler, Senior Director of Product Management at Avaya, discusses how Avaya Nexus™ is designed to modernize critical enterprise communications while preserving the resilience required by government, healthcare, financial services, defense and other highly regulated industries. For years, enterprise communications strategies were often framed around a “cloud-first” approach. Butler explains why many organizations are now taking a more measured view—combining the automation, scalability and innovation available through the cloud with the operational continuity and local survivability traditionally associated with on-premises infrastructure. Built on key components of the Avaya Aura® platform, Avaya Nexus provides a modernization path for existing Avaya customers without forcing them into a cloud-only deployment. Core capabilities can be delivered through the cloud while on-site gateways and endpoints help maintain communications if connectivity to the cloud is interrupted. Darrell Butler “If you get cut from the cloud and you still need your hospital—or whatever the operation may be—to keep its phone calls up, we can do that with Nexus,” Butler says. The conversation also examines Avaya's continued commitment to Aura. Butler emphasizes that Aura is not going away and will continue to be supported and developed, while Nexus offers customers an additional path for modernizing their communications environments. AI is another important part of the strategy. Nexus supports capabilities including speech transcription and translation and is designed to connect with AI services available through Avaya Infinity™ and third-party platforms. At the same time, organizations retain control over how and where their communications data is used—an essential consideration for regulated and security-sensitive environments. Butler also discusses Avaya Government Cloud's achievement of Impact Level 4 High authorization. The milestone strengthens Avaya's position in the public sector and demonstrates its ability to support sensitive government communications and workloads. “We wanted to make sure that it wasn't a big, heavy lift from a customer perspective. We'll do the heavy lift,” Butler says. Additional Avaya Resources Avaya Announces Avaya Nexus™ Mission-Critical Voice Platform for Critical Communications in Highly Regulated Industries Avaya Government Cloud Achieves Prestigious IL4 H Certification, Reinforcing Commitment to National Security Journeys DC Panel: When Public Sector Communications Can't Fail About Avaya Avaya is an enterprise software leader that helps organizations deliver exceptional customer and employee experiences. Its solutions enable enterprises and governments to orchestrate AI, intelligent workflows and human expertise across communications and customer interactions. Avaya supports cloud, on-premises and hybrid deployment models to meet each organization's operational, security and business requirements. About Avaya Nexus Avaya Nexus is a critical communications infrastructure solution designed for organizations where communications cannot fail. It provides a secure and resilient voice foundation that supports cloud and on-premises capabilities while integrating with operational systems such as notifications, workflows and radio communications.

Alicia sits down with Karla Uribe, Intuit's Director of Product Management for the Accountant Segment, to unpack the vision behind Intuit Accountant Suite. They dig into the new Books Close and Client Insights features, how pricing and the ProPartner tiers will work, and what migrating from QBOA actually looks like in practice. Karla also addresses the AI skepticism accountants have voiced online and shares what she hopes the platform will mean for firms two years from now.Sponsors:Intuit Accountants - http://uqb.promo/intuitPilot - http://uqb.promo/pilotVeltrix - http://uqb.promo/veltrix(00:00) - Welcome and Guest Intro (01:15) - Karla Role and Motivation (02:48) - Why Intuit Accountant Suite (05:38) - Feedback Shaping Features (09:52) - AI in QuickBooks Reality Check (13:01) - Fitting IAS Into Tech Stacks (16:48) - Multi Platform Vision (18:43) - Switching From QBOA to IAS (23:21) - New Features and Pricing Window (25:10) - Books Close Overview (26:13) - Books Close Workflow Details (28:53) - Templates and Firm Standards (31:42) - Co-Building With Accountants (34:31) - Client Insights Pricing (36:16) - Inside Client Insights Dashboard (38:38) - Benchmarks And Niche Trends (41:02) - Avoiding Dashboard Overload (43:38) - From Compliance To Advisory (45:22) - Real Anomaly Detection Story (47:23) - Reliability Nail The Foundations (49:56) - Staying Updated And Changelog Idea (51:35) - AI Features That Change Firms (54:14) - Lightning Round Favorites (57:00) - Myths About Intuit Listening (58:26) - Wrap Up And Whats Next LINKSIntuit Connect ON: Firm of the Futurehttps://www.firmofthefuture.com/Sign up for In The Know: https://www.firmofthefuture.com/quickbooks-proadvisor/in-the-know/ Intuit Connect Conference, Oct 26-28: https://www.intuit.com/intuitconnect/Dan & Alicia's deep dive into Books Close and IAS: uqb.show/130 Margie & Alicia pontificate about “ProAdvisor” vs. “ProPartner”: uqb.show/150Alicia's upcoming classes:3rd Party App Exploration, Aug 12: http://royl.ws/3rdpartyIntuit Enterprise Suite, Aug 19: http://royl.ws/intuit-enterprise-suiteBattle of the Books - QBO vs. Xero, sponsored by Xero: https://xero.zoom.us/webinar/register/4717843154915/WN_jWTalQhPSka8DGL2mQerIA#/registrationAI in QBO: http://royl.ws/AIIntuit Accountant Suite in Sept: http://royl.ws/IASWe want to hear from you!Send your questions and comments to us at unofficialquickbookspodcast@gmail.com.Join our LinkedIn community at https://www.linkedin.com/groups/14630719/Visit our YouTube Channel at https://www.youtube.com/@UnofficialQBOPodcastSign up to Earmark to earn free CPE for listening to this podcasthttps://www.earmark.app/onboarding 

Your job description was written to get you hired, not help you know if a decision is your to make.That gap between what's on paper and who actually decides is where careers go to die. Experience & Process Improvement Leader Clint Murt once again joins Product Manager Brian Orlando and Enterprise Business Agility Leader Om Patel in a debate on why job descriptions and/or job role descriptions may buy false comfort, when executive "intrusion" is actually legitimate, and the problem with decision-making that nobody owns.Listen or watch if you're interested in :• Why job descriptions go stale the day they're posted• How that "startup magic" that becomes chaos at 100 people and burns out your best talent• When that exec has the right to overrides your roadmap• Why RACIs are fiction and what to use instead• Practical fixes for decision rightsIf you are a product managers, agile coach, or tech leader tired of role confusion and turf wars, this episode is for you!#ProductManagement #DecisionRights #OrganizationalDesignFlow by Mihaly Csikszentmihalyi, David Marquet, RACI matrix, OVIS framework (BCG), Spotify modelLINKSYouTube: https://www.youtube.com/@arguingagileSpotify: https://open.spotify.com/show/362QvYORmtZRKAeTAE57v3Apple: https://podcasts.apple.com/us/podcast/agile-podcast/id1568557596INTRO MUSICToronto Is My BeatBy Whitewolf (Source: https://ccmixter.org/files/whitewolf225/60181)CC BY 4.0 DEED (https://creativecommons.org/licenses/by/4.0/deed.en)

By Doug Green “The people trying to scam consumers never rest.” In this special Technology Reseller News and Cloud Communications Alliance podcast, Doug Green speaks with Paul Florack, Vice President of Product Management at TNS, about the newly released TNS Robocall Investigation Report. The report examines how AI, social engineering and multimodal attacks are changing voice fraud. Scammers can now combine text messages with follow-up calls, imitate familiar voices and use information gathered from voicemail or communication patterns to make attacks appear legitimate. Florack also explains the limitations of STIR/SHAKEN and A-level attestation. A-attestation confirms that the originating provider believes a caller has the right to use a phone number. It does not confirm that the caller's intentions are legitimate. TNS found that some spam, scam and spoofed calls continue to receive A-level attestation. The report also found that between 10% and 12% of calls receiving first-level authentication were still classified as spam or unwanted. “STIR/SHAKEN is a valuable tool, but it is not—and never will be—a standalone silver bullet,” Florack says. TNS recommends a multilayered approach that combines call authentication with analytics, spoof detection, risk indicators and verified branded calling. These tools can help providers block suspicious traffic while giving consumers more confidence that legitimate calls are safe to answer. For carriers, enterprises, MSPs and channel partners, Florack's message is clear: do not assume that authentication alone solves the robocall problem. Listen to the podcast and read the new TNS report to learn how AI-enabled fraud is evolving and what communications providers can do to protect customers. Learn more at tnsi.com.

By Doug Green “AI goes blind at exactly the moment when you need it most.” In this Technology Reseller News podcast, Vishal Gupta, Director of Product Management at ZPE Systems, explains why AI-driven infrastructure management needs an independent path to the devices it is expected to monitor, troubleshoot and recover. AIOps platforms have become increasingly effective at detecting problems, correlating events and automating routine infrastructure operations. The problem, Gupta says, is that these systems often run on the same production infrastructure they manage. When a network outage or hardware failure occurs, the AI platform can lose both its connection to the affected equipment and access to the telemetry it needs to diagnose the problem. “That is the gap out-of-band fills,” says Gupta. Out-of-band management provides an independent management plane that remains separate from the production network. Even when the primary infrastructure is unavailable, IT teams—and increasingly AI agents—can still reach devices through console access, examine system logs and kernel messages, and take corrective action. Gupta compares the architecture to an airport. Aircraft use the runway for normal operations, while emergency and service vehicles have separate roads and infrastructure. If the runway becomes unavailable, the service infrastructure can still reach the aircraft. The same principle applies to resilient IT operations. An isolated management environment should have its own connectivity, security, routing, switching, storage and compute capabilities. It may also include failover connectivity through 4G, 5G or satellite services such as Starlink. Building Out-of-Band for a Larger Edge ZPE Systems developed its Nodegrid Net Services Router 2U, or NSR 2U, in response to customers operating increasingly large and complex edge environments. These environments can include branch offices, remote facilities, ships, oil rigs, cell sites and other locations outside traditional data centers. They frequently contain more devices, require greater bandwidth and have fewer trained personnel available on-site. The NSR 2U was designed around three priorities: greater capacity, increased resiliency and support for AI workloads. The modular platform offers 10 expansion-card slots, allowing customers to configure the system around their particular deployment. It also includes redundant, field-serviceable power supplies and fans, two NVMe storage slots with RAID support, four native 10-gigabit SFP+ ports and an increased Power over Ethernet budget. ZPE has even addressed the possibility that the out-of-band device itself could fail. Two NSR 2U systems can be interconnected so that one system can provide remote console, power and reset control for the other—effectively providing out-of-band management for the out-of-band infrastructure. Taking NVIDIA Jetson AI to Remote Locations ZPE Systems has also developed an NVIDIA Jetson AI Expansion Card for the Nodegrid NSR family. The card supports NVIDIA Jetson Orin Nano and Orin NX modules, providing local AI processing within the isolated management environment. This allows organizations to deploy AI agents close to the infrastructure and data they manage, without relying entirely on a remote cloud connection. A key capability is remote lifecycle management. IT teams can remotely flash the Jetson operating system, deploy or update AI agents and models, access the console, and power the device on, off or into recovery mode. Ordinarily, updating or recovering an edge AI device may require someone to travel to the location and connect directly to the hardware. ZPE's approach is intended to reduce those truck rolls while allowing organizations to manage distributed AI infrastructure centrally. Potential applications extend beyond AIOps. The platform can support real-time video analytics, object detection, smart recording, manufacturing quality control, sensor-data aggregation and local automation. GPIO and I2C interfaces also allow sensors measuring conditions such as temperature, vibration or voltage to feed information directly into locally running AI models. Asking the Hard Infrastructure Questions Gupta says much of the AI conversation remains focused on models, software and the token economy. Those areas are important, but they can obscure fundamental infrastructure questions. Where will an AIOps platform run? Can it survive the outage it is expected to resolve? Will it still have a path to the affected equipment? Can it access sufficiently accurate data to diagnose the problem and select the right recovery action? “If you can't answer these questions, then there's a gap in your AIOps strategy,” Gupta says. “No software and no model will fix it for you.” As AI becomes more autonomous, infrastructure resilience will determine whether AI agents can move beyond identifying failures to actually recovering from them. ZPE Systems is positioning isolated out-of-band infrastructure, the NSR 2U and edge-based Jetson AI processing as the foundation for making that transition possible. More at Enterprise Network Management Solution | ZPE Systems

Je change de format pour un article un peu plus intimiste où je vous partage ma vision du Product Marketing.J'ai eu l'occasion il y a quelques mois d'écrire la préface du livre blanc de WeFiiT dédié au PMM.J'en ai du coup profité pour poser mes idées :- Ma vision du Product Marketing aujourd'hui.- La manière dont j'appréhende ce métier.- Comment je le vois évoluer dans les années à venir.J'espère que ce format vous plaira. Si vous souhaitez plus de contenus de ce type, dites-le moi en MP !

In this episode of The Product Podcast by Product School, Carlos González de Villaumbrosia sits down with Amit Zavery, President and Chief Product Officer at ServiceNow. The platform runs more than 75 billion workflows a year with around $15 billion in annual revenue growing over 20%. Its market cap is above $100 billion, yet the stock is down more than 30% this past year, while its AI business is on track for $1.5 billion, ahead of a $1 billion plan. Amit previously ran product and platform at Oracle for over two decades and was a VP and General Manager at Google Cloud.What you'll learn:Why the market can't yet tell AI winners from losers, and why companies that don't transform will get killedWhy the idea of one company becoming the single end-to-end enterprise orchestrator is a fallacyThe spare part approach that makes most enterprise AI projects fail, and what pacesetters do insteadWhy access is shifting from user interfaces to agents, and what taking action actually requiresHow to hold long-term conviction on platform bets while the market judges you on short-term sentimentKey takeaways:Transform or die: the market will separate AI-native platforms from legacy vendorsInteroperability beats domination in the agentic eraGovernance only wins when it accelerates innovation, not when it blocks itCredits:Host: Carlos Gonzalez de VillaumbrosiaGuest: Amit ZaverySocial Links:Find out more about Product School hereFollow our Podcast on TikTok hereFollow Product School on LinkedIn here

A startup lecture recommended by Sam Altman calls people "ammunition" and tells you to work 80-hour weeks.Brian and Om dissect Keith Rabois' (in)famous "How to Operate" talk, exposing the dehumanizing logic behind "barrels and ammunition," the cult of heroic effort, and why grading managers on output-per-head creates a fear-based culture.What Brian and Om get into:• Why the "people are irrational" premise is a condescending excuse for bad system design• The truth behind 80-100 hour work weeks and the duct-tape engine myth• What "build a company idiots can run" really means for your career• The "barrels and ammunition" metaphor and its Taylorist roots• Why "expand responsibilities until they break" destroys psychological safety• The output-per-head metric and how it incentivizes burning out your teamFor product managers, engineers, and anyone who's ever been called a "resource" by someone who read too much Ayn Rand.#ToxicLeadership #StartupCulture #ManagementAdviceKeith Rabois, Sam Altman, Y Combinator, Andy Grove, High Output Management, Warren Buffett, Square, PayPal, W. Edwards Deming, The Goal by Eliyahu GoldrattLINKSYouTube: https://www.youtube.com/@arguingagileSpotify: https://open.spotify.com/show/362QvYORmtZRKAeTAE57v3Apple: https://podcasts.apple.com/us/podcast/agile-podcast/id1568557596INTRO MUSICToronto Is My BeatBy Whitewolf (Source: https://ccmixter.org/files/whitewolf225/60181)CC BY 4.0 DEED (https://creativecommons.org/licenses/by/4.0/deed.en)

In this episode of The Product Podcast by Product School, Carlos González de Villaumbrosia sits down with Saral Jain, SVP of Engineering at Snapchat, the last independent social platform operating at global scale, with 956 million monthly active users closing in on the one billion mark and a community that opens the app more than 30 times a day. Saral joined Snap nine years ago, right around the IPO, after nearly a decade leading engineering teams at Amazon Web Services, and today leads all engineering for Snapchat, spanning product experiences, multi-cloud infrastructure, and the company's machine learning and generative AI platforms.What you'll learn:How Snap lets designers and product managers ship production code, with an AI agent running the first review pass on 90% of code within 5 minutesWhat Casper is: the AI teammate any team at Snap can invoke from Slack or Jira to build a working prototype from a conversationHow Snap turned company-wide AI adoption into business impact after early prototypes were being built and thrown awayHow lean startup squads mix engineers, designers, and data scientists to launch zero-to-one bets inside a mature platformKey takeaways:Quality control does not have to slow down who gets to ship, it has to change what reviews the work firstWidespread AI adoption is not the same as business impact, and the gap between the two is where most AI investment is being wasted right nowSmall, cross-functional teams with blurred roles can move faster than traditional org structures, even inside a billion-user companyCredits:Host: Carlos Gonzalez de VillaumbrosiaGuest: Saral JainSocial Links:Find out more about Product School hereFollow our Podcast on TikTok hereFollow Product School on LinkedIn here

"We all crave more humanity, more tactility, more contact with the real world. And AI done in the right way can be agentic and behind the scenes and be this kind of laid intelligence that sits underneath everything but doesn't need to shout for your attention."David Sheldon-Hicks and his team at Territory Studios build the future for a living, from the interfaces in Dune, The Martian, Guardians of the Galaxy to the real screens in Audis and Cadillacs. So I was excited to have him, and Perry Mason, Territory's head of digital, on the show to explore what's coming next. David expects the future will be less like Marvel (maximalist, everything screaming for your attention) and more like Dune (analog, tactile, with deep intelligence sitting quietly underneath). He calls this "quiet tech" and thinks it's exactly what we're starting to crave.We also explore:What it takes to build near-future interfaces for Hollywood films that are believable in context, yet just out of reach in today's realityWhy exploring dystopian fears can lead to better product designBuilding a live 3D map of the entire planet — and the moment they realized they were designing the plot of a Bond filmWhy anything genuinely valuable stays hard to make: David's pushback on "Hollywood is cooked" and the wave of AI hype promising $10 blockbustersHumanoid robots as universal adapters: Why the world being built for human-shaped things might be the whole case for human-shaped machinesSupport Future Around & Find Out:Follow Dan on LinkedIn https://www.linkedin.com/in/dblums/Get the free newsletter: https://www.futurearound.comBecome a paid subscriber and help future proof FAFO! https://www.futurearound.com/upgrade

Send us Fan MailPricing AI is the hardest pricing problem in software right now, and most SaaS leaders are getting it wrong on the first try. In this episode of Navigating the Customer Experience, host Yanique Grant sits down with Dan Balcauski, founder of Product Tranquility, to unpack why the first AI price a company sets is always wrong, how to set usage caps when you have no historical data, and what smart B2B SaaS leaders do differently to turn pricing from a liability into a strategic advantage.Dan has spent more than 20 years in software, starting as an engineer before moving into product management and discovering that how a company captures value matters far more than how it builds the product. Today he advises B2B SaaS CEOs on the AI pricing and packaging decisions that keep them up at night, and in this conversation he shares the frameworks, the mistakes to avoid, and the practical playbook he uses with real companies.WHAT YOU WILL LEARN IN THIS EPISODEWhy the first AI price is always wrong, and why that has nothing to do with how smart your team or your consultants are. Dan explains the fundamental economic shift underway in software, where both sides of the pricing equation are moving at once. On the cost side, he points to a benchmark showing the cost per task for a top model dropping by roughly 390 times in a single year, a change no normal business ever absorbs in its cost of goods sold. On the value side, models keep getting more capable, handling this month what they could not handle last month. His research shows that every application layer software company he studied that released AI capabilities revised its pricing and packaging within 18 months. The lesson is not to price perfectly on day one. It is to build for change.How to set usage caps and pricing tiers with zero historical data. Dan frames the real problem plainly. You know what a token costs, but you have no idea what customers will actually do with a new AI feature. Products are full of features that barely got adopted, and AI features do not get to skip that step of the innovation cycle. On top of that, a small group of power users, often around 5 to 10 percent, can drive the overwhelming majority of usage and cost. That makes the tempting shortcuts unreliable. Using dashboard views as a proxy breaks down because good AI gets used far more than the dashboards it replaces, and a beta group rarely matches the usage profile of the full market.The early access playbook that sits between beta and general availability. Dan recommends a stage where companies announce their limits, put a price on the feature, and communicate it clearly, but do not enforce or meter it yet for a defined window that can run anywhere from six weeks to 18 months. This eases customer anxiety about surprise bills, encourages real adoption, and lets the company gather genuine usage patterns instead of guessing from proxies that break down.Why you should separate ordinary plan limits from fair use limits. Even when you are not metering usage, Dan explains, you can reserve the right to throttle or downgrade the rare customer using a capability a hundred or a thousand times more than the average, much like companies already do with API request limits. Those levers let teams keep experimenting during early access without the finance team panicking when the bill arrives.Why communication is where pricing changes succeed or fail. As Dan puts it, most pricing blowups come not from the change itself but from the fact that it was communicated poorly or not at all. Agility beats certainty, and reviewing pricing on a quarterly cadence beats the old annual or five year rhythm.This episode is essential listening for SaaS founders, product leaders, pricing strategists, and customer experience professionals who want to understand how AI is reshaping the economics of software and what to do about it before the market forces the decision for them.ABOUT DAN BALCAUSKIDan Balcauski is the founder of Product Tranquility, where he helps B2B SaaS CEOs turn pricing from a confusing liability into a strategic advantage. With more than 20 years in software, Dan began his career as an engineer before moving into product management and discovering that how companies capture value matters far more than how they build it. His work now centers on one of the most pressing questions in software today: how to price AI. Before founding Product Tranquility, Dan was a principal product strategist at SolarWinds and head of product at LawnStarter. He holds a BSc in computer engineering from Iowa State University and an MBA from the Kellogg School of Management at Northwestern, where he also helps teach executive education courses on product strategy. He is the host of the SaaS Scaling Secrets podcast.QUESTIONS YANIQUE ASKEDCould you share a little about your journey and how you got from where you were to where you are today? You have said the first AI price is always wrong. Why is that, and what should a SaaS company do differently knowing they are going to get it wrong the first time? So many companies are trying to set usage caps and pricing tiers for AI with zero historical data. How would you advise a CEO to make that decision when they are essentially flying blind? What is the one online resource, tool, website, or application that you absolutely cannot live without in your business? Can you share one or two books that have had a positive impact on you, professionally or personally? What is one thing going on in your life right now that you are really excited about? Do you have a quote or saying that keeps you on track during times of adversity? Where can listeners find and connect with you online?KEY TAKEAWAYSThe first AI price is always wrong, and that is not a failure of intelligence. It reflects a fundamental economic shift where both cost and value are moving fast. Every application layer company Dan studied revised its AI pricing and packaging within 18 months. Plan for revision, not perfection. Agility beats certainty. Review pricing on a quarterly cadence rather than annually or every five years. Communication is where pricing changes succeed or fail. Most blowups come from poor communication, not the change itself. Usage proxies break down. Dashboard views and beta groups rarely predict how customers will actually use an AI feature. A small group of power users can drive the majority of usage and cost, so average user assumptions are dangerous. Early access is the smart middle stage. Announce and price the limits, communicate them, but do not meter yet while you gather real data. Separate plan limits from fair use limits. Reserve the right to throttle extreme usage even when you are not metering everyone. Do not borrow problems from the future. Anxiety about what has not happened yet only adds problems to the present. AI is making custom, personal business software economically viable for the first time, opening the door to tools built exactly the way you work.CHAPTERS 00:00 Introduction and Guest Bio 01:51 Dan's Journey: From Engineer to Pricing Strategist 04:03 Learning That Pricing Is Different in Every Industry 04:49 Why the First AI Price Is Always Wrong 05:36 The 390x Cost Shift and the Moving Value Equation 06:49 Agility, Faster Pricing Reviews, and Communication 09:28 Setting Usage Caps With No Historical Data 11:32 Why Dashboard Proxies and Beta Groups Break Down 12:59 The Early Access Playbook Between Beta and GA 13:20 Plan Limits vs. Fair Use Limits 17:04 The One Tool Dan Cannot Live Without: Claude Code 17:38 Book Recommendation: Monetizing Innovation 18:31 Building Custom Business Software With AI 19:55 How to Connect With Dan Online 20:27 Dan's Guiding Quote: Don't Borrow Problems From the FutureFEATURED RESOURCESBook mentioned: Monetizing Innovation by Madhavan Ramanujam and Georg TackeTool mentioned: Claude Code, Dan's work surface and the engine behind his custom business softwareCONNECT WITH DANLinkedIn: Search Dan Balcauski on LinkedIn, and mention that you heard him on the podcast so he can separate you from the spamWebsite: producttranquility.comPodcast: SaaS Scaling Secrets, wherever podcasts are foundDAN'S GUIDING QUOTE"Don't borrow problems from the future." Dan BalcauskiDan explains that most of our anxiety is about things that have not happened yet. Worrying about a future scenario pulls that problem into the present before it ever arrives, giving you more to carry now for no reason. Like debt, it is borrowing against your future self. His practice is to stay focused on what is real and in front of him, which keeps him grounded when challenges or uncertainty threaten to pull him off track.ABOUT N

Interview with François Proulx from Boost Security Software Supply Chain Security: Build Pipeline (CI/CD) Exploitation Boost Security is the creator of some very popular build pipeline security tools, like Bagel and Poutine. Today, we discuss their latest tool, Smoked Meat. They describe it as "Like Metasploit, but for CI/CD pipelines". Segment Resources: Smoked Meat announcement Smoked Meat github Smoked Meat demo with Guillaume and François Identiverse Interview with Dr. John Prichard from Radiant Logic The Three Identity Problem: Surviving Identity Security's Chaotic Era Identity security has entered its chaotic era. Human, non-human, and agentic AI identities no longer just coexist. They form an uncontrolled inheritance chain in which a human creates an agent, the agent spins up service principals, OAuth grants, and role assignments, and that whole chain keeps running long after the human changes roles or leaves. Most of these chains are being spawned by business users on low-code and enterprise AI platforms, outside traditional identity controls and largely invisible to security. In this segment, Radiant Logic CEO Dr. John Pritchard joins us to unpack why this is no longer a visibility problem. It is an observability problem. And it is shifting the center of gravity in identity security from authentication to authorization. Listeners will leave with a clearer view of where their current IAM, IGA, and NHI programs fall short, and a practical lens for governing the rapidly expanding population of AI agents already inside their environments. To go deeper on what John discussed today, watch Radiant Logic's on-demand webinar Identities Under Attack: How Adversaries Exploit the Human-Machine-Agent Divide at https://securityweekly.com/radiantlogicidv. Identiverse Interview with Cassie Christensen from Saviynt Everyone Wants an AI Assistant. Few Are Ready to Govern One Explore a growing reality many professionals can relate to: the appeal of using AI agents to handle the work that keeps piling up - from inbox management to research and logistics - and the governance challenges that quickly follow. The real barrier to scaling personal or enterprise AI agents isn't the technology itself, but defining clear roles, access boundaries, oversight, and lifecycle management. As organizations deploy more autonomous AI agents, the same identity frameworks used to govern workforce and non-employee identities must now evolve to manage AI-driven access before scale and risk outpace control. This segment is sponsored by Saviynt. Learn more or get a free demo at https://securityweekly.com/saviyntidv Identiverse Interview with Jaime Lewis-Gross from Saviynt From Sales Engineer to Forward Deployed Engineer: The Rise of Hybrid Technical Roles As technology organizations evolve, technical roles are becoming increasingly fluid - particularly at the intersection of product, engineering, and customer success. This conversation explores what it means to be a modern sales engineer and how the role is increasingly expanding into responsibilities often associated with forward deployed engineers: translating complex technical capabilities into real-world outcomes, solving customer challenges in real time, and serving as a critical bridge between product teams and end users. At the center of this evolution is a customer-first mindset - one that prioritizes listening, adaptability, and long-term partnership. As organizations race to innovate, the companies that stand out will be those that remain deeply focused on customer needs while empowering technical teams to operate beyond traditional role boundaries. This segment is sponsored by Saviynt. Learn more or get a free demo at https://securityweekly.com/saviyntidv Identiverse Interview with Kim Brown from LexisNexis Stop Identity Fraud: Modern Strategies for Insurance and Healthcare Identity fraud is growing more sophisticated across both insurance and healthcare, making identity management a critical line of defense. In this executive interview, Kim Brown, VP of Product Management, will explore how organizations can strengthen identity verification, authentication, and risk assessment to reduce fraud while improving user experiences. The discussion will highlight emerging threats, evolving regulatory expectations, and practical strategies for deploying identity solutions at scale. Attendees will gain actionable insights to protect customers, patients, and their organizations without adding friction. This segment is sponsored by LexisNexis Risk Solutions. Visit https://securityweekly.com/lexisnexisidv to learn more about them! Visit https://www.securityweekly.com/esw for all the latest episodes! Show Notes: https://securityweekly.com/esw-467

Interview with François Proulx from Boost Security Software Supply Chain Security: Build Pipeline (CI/CD) Exploitation Boost Security is the creator of some very popular build pipeline security tools, like Bagel and Poutine. Today, we discuss their latest tool, Smoked Meat. They describe it as "Like Metasploit, but for CI/CD pipelines". Segment Resources: Smoked Meat announcement Smoked Meat github Smoked Meat demo with Guillaume and François Identiverse Interview with Dr. John Prichard from Radiant Logic The Three Identity Problem: Surviving Identity Security's Chaotic Era Identity security has entered its chaotic era. Human, non-human, and agentic AI identities no longer just coexist. They form an uncontrolled inheritance chain in which a human creates an agent, the agent spins up service principals, OAuth grants, and role assignments, and that whole chain keeps running long after the human changes roles or leaves. Most of these chains are being spawned by business users on low-code and enterprise AI platforms, outside traditional identity controls and largely invisible to security. In this segment, Radiant Logic CEO Dr. John Pritchard joins us to unpack why this is no longer a visibility problem. It is an observability problem. And it is shifting the center of gravity in identity security from authentication to authorization. Listeners will leave with a clearer view of where their current IAM, IGA, and NHI programs fall short, and a practical lens for governing the rapidly expanding population of AI agents already inside their environments. To go deeper on what John discussed today, watch Radiant Logic's on-demand webinar Identities Under Attack: How Adversaries Exploit the Human-Machine-Agent Divide at https://securityweekly.com/radiantlogicidv. Identiverse Interview with Cassie Christensen from Saviynt Everyone Wants an AI Assistant. Few Are Ready to Govern One Explore a growing reality many professionals can relate to: the appeal of using AI agents to handle the work that keeps piling up - from inbox management to research and logistics - and the governance challenges that quickly follow. The real barrier to scaling personal or enterprise AI agents isn't the technology itself, but defining clear roles, access boundaries, oversight, and lifecycle management. As organizations deploy more autonomous AI agents, the same identity frameworks used to govern workforce and non-employee identities must now evolve to manage AI-driven access before scale and risk outpace control. This segment is sponsored by Saviynt. Learn more or get a free demo at https://securityweekly.com/saviyntidv Identiverse Interview with Jaime Lewis-Gross from Saviynt From Sales Engineer to Forward Deployed Engineer: The Rise of Hybrid Technical Roles As technology organizations evolve, technical roles are becoming increasingly fluid - particularly at the intersection of product, engineering, and customer success. This conversation explores what it means to be a modern sales engineer and how the role is increasingly expanding into responsibilities often associated with forward deployed engineers: translating complex technical capabilities into real-world outcomes, solving customer challenges in real time, and serving as a critical bridge between product teams and end users. At the center of this evolution is a customer-first mindset - one that prioritizes listening, adaptability, and long-term partnership. As organizations race to innovate, the companies that stand out will be those that remain deeply focused on customer needs while empowering technical teams to operate beyond traditional role boundaries. This segment is sponsored by Saviynt. Learn more or get a free demo at https://securityweekly.com/saviyntidv Identiverse Interview with Kim Brown from LexisNexis Stop Identity Fraud: Modern Strategies for Insurance and Healthcare Identity fraud is growing more sophisticated across both insurance and healthcare, making identity management a critical line of defense. In this executive interview, Kim Brown, VP of Product Management, will explore how organizations can strengthen identity verification, authentication, and risk assessment to reduce fraud while improving user experiences. The discussion will highlight emerging threats, evolving regulatory expectations, and practical strategies for deploying identity solutions at scale. Attendees will gain actionable insights to protect customers, patients, and their organizations without adding friction. This segment is sponsored by LexisNexis Risk Solutions. Visit https://securityweekly.com/lexisnexisidv to learn more about them! Visit https://www.securityweekly.com/esw for all the latest episodes! Show Notes: https://securityweekly.com/esw-467

Interview with François Proulx from Boost Security Software Supply Chain Security: Build Pipeline (CI/CD) Exploitation Boost Security is the creator of some very popular build pipeline security tools, like Bagel and Poutine. Today, we discuss their latest tool, Smoked Meat. They describe it as "Like Metasploit, but for CI/CD pipelines". Segment Resources: Smoked Meat announcement Smoked Meat github Smoked Meat demo with Guillaume and François Identiverse Interview with Dr. John Prichard from Radiant Logic The Three Identity Problem: Surviving Identity Security's Chaotic Era Identity security has entered its chaotic era. Human, non-human, and agentic AI identities no longer just coexist. They form an uncontrolled inheritance chain in which a human creates an agent, the agent spins up service principals, OAuth grants, and role assignments, and that whole chain keeps running long after the human changes roles or leaves. Most of these chains are being spawned by business users on low-code and enterprise AI platforms, outside traditional identity controls and largely invisible to security. In this segment, Radiant Logic CEO Dr. John Pritchard joins us to unpack why this is no longer a visibility problem. It is an observability problem. And it is shifting the center of gravity in identity security from authentication to authorization. Listeners will leave with a clearer view of where their current IAM, IGA, and NHI programs fall short, and a practical lens for governing the rapidly expanding population of AI agents already inside their environments. To go deeper on what John discussed today, watch Radiant Logic's on-demand webinar Identities Under Attack: How Adversaries Exploit the Human-Machine-Agent Divide at https://securityweekly.com/radiantlogicidv. Identiverse Interview with Cassie Christensen from Saviynt Everyone Wants an AI Assistant. Few Are Ready to Govern One Explore a growing reality many professionals can relate to: the appeal of using AI agents to handle the work that keeps piling up - from inbox management to research and logistics - and the governance challenges that quickly follow. The real barrier to scaling personal or enterprise AI agents isn't the technology itself, but defining clear roles, access boundaries, oversight, and lifecycle management. As organizations deploy more autonomous AI agents, the same identity frameworks used to govern workforce and non-employee identities must now evolve to manage AI-driven access before scale and risk outpace control. This segment is sponsored by Saviynt. Learn more or get a free demo at https://securityweekly.com/saviyntidv Identiverse Interview with Jaime Lewis-Gross from Saviynt From Sales Engineer to Forward Deployed Engineer: The Rise of Hybrid Technical Roles As technology organizations evolve, technical roles are becoming increasingly fluid - particularly at the intersection of product, engineering, and customer success. This conversation explores what it means to be a modern sales engineer and how the role is increasingly expanding into responsibilities often associated with forward deployed engineers: translating complex technical capabilities into real-world outcomes, solving customer challenges in real time, and serving as a critical bridge between product teams and end users. At the center of this evolution is a customer-first mindset - one that prioritizes listening, adaptability, and long-term partnership. As organizations race to innovate, the companies that stand out will be those that remain deeply focused on customer needs while empowering technical teams to operate beyond traditional role boundaries. This segment is sponsored by Saviynt. Learn more or get a free demo at https://securityweekly.com/saviyntidv Identiverse Interview with Kim Brown from LexisNexis Stop Identity Fraud: Modern Strategies for Insurance and Healthcare Identity fraud is growing more sophisticated across both insurance and healthcare, making identity management a critical line of defense. In this executive interview, Kim Brown, VP of Product Management, will explore how organizations can strengthen identity verification, authentication, and risk assessment to reduce fraud while improving user experiences. The discussion will highlight emerging threats, evolving regulatory expectations, and practical strategies for deploying identity solutions at scale. Attendees will gain actionable insights to protect customers, patients, and their organizations without adding friction. This segment is sponsored by LexisNexis Risk Solutions. Visit https://securityweekly.com/lexisnexisidv to learn more about them! Show Notes: https://securityweekly.com/esw-467

Kailash Badu is one of Nepal's pioneering Product Managers. He helped scale CloudFactory during its early years, has built multiple products across AI, Enterprise Software and FinTech, and currently serves as VP of Product at Genese Solution. In this conversation, he shares over a decade of experience building products, leading teams, and preparing businesses for the AI era.   From why 95% of software features are never used to why coding was never the real job of a software engineer, this conversation explores Product Management, Artificial Intelligence, FinTech, customer thinking, and what it takes to build products people actually use. Whether you're a software engineer, founder, product manager, business leader, or IT student, you'll find practical lessons on building products, adopting AI, and staying relevant in a rapidly changing technology landscape.   Timestamps 00:00:00 - Highlight 00:02:04 - Introduction 00:03:47 - Scaling CloudFactory from Nepal 00:07:36 - From Programmer to Product Manager 00:12:18 - Why 95% of Software Features Go Unused 00:15:24 - Digitizing Nepal's Ministry of Education 00:26:01 - AI's Real Superpower Isn't Coding 00:26:38 - Business Is Just Decision Making 00:38:37 - Be Digital Native Before AI Native 00:46:37 - Is AI Just Another FOMO Trend? 00:52:28 - Why Coding Was Never the Real Job 00:58:02 - The Wedding Photographer Lesson Every Founder Needs 01:06:51 - The Four Pillars of FinTech 01:10:25 - Banks Are Just Matchmakers 01:25:31 - Why People Avoid Formal Banking 01:30:06 - Nepal's Fear-Based Regulation Problem 01:36:10 - Why Bank Transfers Are Still Slow 01:47:03 - AI Is a Commodity, People Are the Advantage 01:54:48 - Why Smart People Still Fail   ___________________________________________________________________________________________________ Want to become a video podcaster? Get info: https://becomeadoer.com/programs/become-a-video-podcaster?utm_medium=YT&utm_source=organic     If you love reading, don't miss our newsletter on Substack Link: https://substack.com/@doersglobal?     Want to join us live in the studio as an audience member? Fill out this form: https://forms.gle/xZi8yptyoxkkc6aa8     ✉ Reach out to us at partners@doersnepal.com   

In this episode of The Product Podcast by Product School, Carlos González de Villaumbrosia sits down with Jeff Kunins, Chief Product Officer and Chief Technology Officer at Axon, the company that created the Taser and the body cameras federal agencies wear. Axon ingests more video per year than YouTube, and with a market cap of approximately $32.9 billion and $2.78 billion in revenue, growing 33% year over year, it is one of the highest-growth companies in the S&P 500. What you'll learn:How law enforcement agencies are using AI inside body cameras and Tasers to save lives, not just hit metrics.Why Axon declared a public moratorium on facial recognition AI for six years and what finally changed.How Axon embeds external activists and researchers directly into product manager squads as a design input, not a compliance process.Building first-party AI models for real-time license plate detection while using foundation LLMs for everything else.Key takeaways:Axon created the Taser and the body cam, and now ingests more video per year than YouTube. Most people have never heard of them.Build only what you must to be differentiated. Everything else, license from the best available source.Ethics review is not a compliance burden. When embedded in the product lifecycle, external critics help you see around corners and design better products.Credits:Host: Carlos Gonzalez de VillaumbrosiaGuest: Jeff KuninsSocial Links:Find out more about Product School hereFollow our Podcast on TikTok hereFollow Product School on LinkedIn here

For the past 5 years, the ITX Product + Design Conference stands at the top of the company's calendar. In this Topics in Product Series (TiPS) episode, Product Momentum co-host Sean Murray called the 2-day conference event “my favorite two working days of the year,” complete with workshops, keynotes, spotlight sessions, and live podcast recordings. Sean (Director of Product Management) is joined by ITX colleagues Shannon Baird (Lead UX Designer), Kyle Psaty (VP of Business Development), and Dan Sharp (Product Manager, Product Momentum co-host). With conference excitement still fresh on their minds and drawing from their experiences across product management, UX design, and business development, the panel explored the conference’s most relevant takeaways. As you'll see and hear, one theme emerged: the boundaries that once separated the roles of Product and UX are rapidly fading. As AI changes how teams work, their success depends less on tools and more on the collaborative problem solving that grows from a deeper understanding of our products' users. Here's a look at what they learned: AI Amplifies Existing Product Practices Not surprisingly, Conference speakers discussed artificial intelligence and its impacts – but not as the primary topic. Instead, they focused on ways AI can be used to strengthen good product thinking, not to replace it. David Pereira, author of Untrapping Product Teams, explained that AI is most valuable when it enhances sound discovery, user research, and decision-making. Teams that already practice strong product fundamentals will benefit the most, he added. “AI accelerates what you are already doing,” David says. Leadership Is Something You Do, Not Someone You Are Leadership emerged as another major theme during the Day 1 workshops. In a Product track session guided by Rachel Kohman, attendees explored how leadership happens through everyday actions. Rather than being defined by job title or authority, leadership is revealed at all levels of the organization by speaking up, creating space for others, and helping teams navigate difficult problems. As Dan points out, “It’s really easy to think about leadership as a thing that happens when ‘somebody's in charge.’ But that’s not always the case. Leading is a verb that you do, not an overall overarching principle. I think there’s a lot of power in that.” Product and UX Deliver Stronger Results Together Our TiPS panelists believe that the Conference's most actionable takeaway is the growing convergence of Product and UX. Even though AI is enabling professionals to work across traditional role boundaries, a focus on shared customer and business outcomes are bringing the disciplines even closer together. “In past years,” Kyle shares, “guests like Jesse James Garrett, Jared Spool, and Rich Mironov really celebrated our conference because it brings together product and design. Historically, the impetus has been to actively bring those departments together. Now, those roles are converging in this kind of natural way; the game board is tilting us all together toward unified problem solving and shared solutioning.” [04:11] The ITX Product + Design Conference is my favorite two working days of the year! — Sean Murray, Director of Product Management, ITX. [13:28] I'm now building my own AI design expertise, and it's important to stop for a beat and make sure I'm asking the right questions as I design these tools. — Shannon Baird, Lead UX Designer, ITX. [18:51] One thing is clear: the work we’re doing – designers, engineers, product managers – is figuring out what brings value. It’s adaptive problem solving, right? — Dan Sharp, Product Manager, ITX. [19:50] The Product and Design roles are converging in this natural, authentic way that is tilting us all toward unified problem solving and shared solutioning. — Kyle Psaty, VP of Business Development, ITX. [21:05] That’s why this Product + UX Conference was killer for me. With AI technology becoming readily available, we’re seeing designers coding their own prototypes and product owners designing their own solutions. Our roles are more closely aligned and offering more opportunities to cross-collaborate. — Shannon Baird, Lead UX Designer, ITX. [22:33] I think we’ve lost a little bit of the in-person career development. And we wouldn’t have been able to make the observations that we were making about the blending of these worlds. There’s so much value for both distinct role sets; the opportunity to be there in person and the opportunity to talk with other people is really unique these days. — Sean Murray, Director of Product Development, ITX. Sean Murray. Sean is the Director of Product Management at ITX. His expertise lies in aligning teams with product goals, business objectives, and user value, all while creating a fun and collaborative environment where everyone can thrive. Dan Sharp. Dan is a Product Manager at ITX focusing on enterprise level clients and technology solutions. He enjoys shaping product strategy and turning a strategy into valuable solutions. Kyle Psaty. Kyle is ITX’s VP of Business Development. In this role, Kyle is the executive sponsor of the annual ITX Product + Design Conference. Shannon Baird. Shannon is a Lead UX Designer at ITX. She thrives on solving challenging problems with a user-centered design process, taking problems through research, ideation, prototyping, and testing design phases. The post 191 / TiPS: ITX 2026 P+D Conference – Converging Around Better Problem Solving appeared first on ITX Corp..

Laura has been looking forward to this one for a while. On this episode of That Tech Pod, we sit down with Justin Silverman, the Chief Operating Officer of Legal Solutions at Mitratech, to talk about what it really takes to build and scale enterprise software in the age of AI.Justin has led product organizations across legal technology, insurance technology, and enterprise SaaS, giving him a unique perspective on how different industries adopt technology, where product strategy succeeds or fails, and why organizational leadership becomes just as important as product innovation as companies grow. We discuss the surprising similarities and differences between building software for lawyers versus insurance professionals, the balance between product decisions and people decisions, and what changes when you're responsible for one of the largest legal software portfolios in the industry.The conversation also takes a practical look at AI beyond the marketing headlines. Justin shares how Mitratech is approaching AI both inside the business and for customers, where employees are still hesitant to embrace AI in their daily work, and whether AI has actually made product management easier or simply raised expectations for everyone involved. We also explore why legal spending continues to rise despite decades of technology-driven efficiency gains and the costly mistakes software companies make when chasing growth instead of solving real customer problems. If you're interested in product leadership, AI adoption, legal technology, or simply how large software organizations make strategic decisions, this episode offers an inside look from someone helping shape the future of enterprise legal software.Justin Silverman is Chief Operating Officer of Legal Solutions at Mitratech, leading Product Management, Engineering, and Operations across the Legal Solutions division, with responsibility for bringing AI-powered solutions to customers and driving AI adoption across Mitratech's own operations. In March 2021, he joined Mitratech from Vertafore, a software provider in the insurance industry, where he led product management for their insurance agency management system business. Prior to Vertafore, he was VP of Product Management and General Manager of LexisNexis CounselLink, an e-billing and matter management solution. Justin's experience spans growing B2B software businesses, solving complex customer problems, and driving performance across large, cross-functional teams. 

Learn how Vercel's "self-driving infrastructure" vision pairs with AWS databases to eliminate backend friction, securely cutting Aurora Serverless creation time from minutes to seconds.Topics Include:Hedieh Zandi (Vercel) and Manbeen Kohli (AWS) introduce prompt-to-production sessionVercel powers 18 million developers, maintains Next.js and AI SDKVercel's agentic infrastructure runs on AWS Lambda, CloudFront, and S3AI now generates frontend, APIs, and workflows for small teamsBackend friction remains: credentials, provisioning, database configuration still hardVercel envisions "self-driving infrastructure" that adapts automatically to appsNew AWS partnership brings native Aurora DSQL and Postgres integrationManbeen explains databases now built into Vercel Marketplace and v0Aurora Serverless database creation sped up from minutes to secondsAurora Postgres, DynamoDB, and DSQL scale prototypes without rewritesPre-configured templates help builders start RAG or shopping AI appsDatabase security uses OIDC and IAM tokens, no stored passwordsAWS chosen for agents: low latency, autonomy, one-click simplicityskills.sh gives agents reusable instructions, mirrors AWS Kiro's "powers"v0 lets users build full-stack apps using natural language promptsv0 uses Bedrock models and deploys directly on Vercel infrastructureLive demo: v0 builds restaurant app, provisions database, adds Stripe checkoutDemo ends at AWS console; Rauch quote and hackathon close sessionParticipants:Hedieh Zandi - Product Lead, VercelManbeen Kohli - Director of Product Management, Aurora and RDS Databases, Amazon Web Services See how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Unlock your dream job in IT with our proven community: https://itcareerjob.com/Cisco just dropped the brand new CCNA v2.0 blueprint, bringing the most disruptive change to the certification track in six years. In this exclusive interview, I sit down with Ryan Rose, Cisco's Director of Product Management for Skills and Certifications, to pull back the curtain on why the exam is changing on February 3, 2027, and what it means for your IT career.We break down the massive shift from basic terminology memorization to deep, scenario-based network troubleshooting. Ryan explains the return of performance-based exam labs, the structural elimination of the standalone automation domain, and how Cisco plans to test your ability to audit AI hallucinations in production environments. If you are currently studying for CCNA v1.1 or trying to break into the networking industry, this conversation will completely redefine your study roadmap and home lab strategy.

Today e celebrate 250 Years of Freedom during this 4th of July special with Scotty Sykes with Sykes & Company Pharmacy Accounting Experts. Next, a special interview with Virginia Halsey SVP of Strategy and Product Management and Brad Engels Product Manager at First Databank (FDB).  Today's TWIRx is sponsored by Sykes & Company  250 Years of Freedom - 4th of July Special | TWIRx 

In this episode of the Pure Report, we sit down with Everpure VP of Product Management, Chadd Kenney, to kick off a three-part series celebrating the company's annual June launch. We explore the evolution of storage management into autonomous data operations, emphasizing the critical shift from managing siloed infrastructure to treating data as a strategic, unified asset. Our conversation centers on Everpure's Intelligent Control Plane, highlighting how Everpure is moving beyond traditional volume and filesystem management to a declarative model where policies and intent drive storage behavior. Chadd breaks down the power of the Intelligent Control Plane, drawing an analogy to autonomous vehicles where intent-based communication eliminates traffic and friction. Our discussion shifts to how Everpure is using Fusion to unify data fleets, allowing for policy enforcement and automation across both greenfield and brownfield deployments. We also touch on the broader impact of AI, discussing how improved visibility into application data and service-level objectives enables IT teams to move from tactical, manual tasks to high-level strategic partnerships with their business units. Finally, we preview upcoming innovations in openness, compliance, and autonomous agentic features, such as automated rebalancing and enhanced anomaly detection. By abstracting the infrastructure layer and enabling policy-based intent, Everpure is empowering customers to set and forget complex storage tasks, significantly reducing management overhead. Whether you are already using Fusion capabilities or looking to rationalize your storage environment, this episode offers a clear roadmap for embracing a more autonomous, intelligent future in data management. To learn more, visit: https://www.everpuredata.com/launch Check out the new Everpure digital customer community to join the conversation with peers and Everpure experts: https://purecommunity.purestorage.com/ 00:00 Intro and Series Preview 02:28 Elevating Data Above Apps 5:10 Intelligent Control Plane Primer 10:05 Stat of the Episode 13:16 New Fusion and Pure1 Capabilities 16:20 App Intelligence, Policy, and Compliance 20:30 AI Copilot and Agentic Workflows 24:10 The Meaning of Intent around Data

In this episode of The Product Podcast by Product School, Carlos González de Villaumbrosia sits down with Arnab Bose, Chief Product Officer at Asana. Asana is the work management platform built for human and AI collaboration, trusted by over 170,000 customers including Accenture, Amazon, and Anthropic. The platform's Work Graph maps goals to portfolios to projects to tasks and serves as the foundation for Asana's AI Teammates: collaborative agents that operate inside the graph, learn from human decisions, and compound their intelligence with every cycle. What you'll learn:Why enterprise AI spend keeps returning zero productivity gains, and what is structurally breaking the loopWhy every employee approval, correction, or rejection of AI output is training data that makes the system smarter over timeHow Asana wires its own processes through the Work Graph so that AI decisions write back automatically and compound rather than resetHow PLG, forward-deployed engineers, and AI agents all report to the CPO, each under a GM who owns a revenue numberWhy the future of AI at work belongs to whoever has the richest shared context, not whoever has the best modelKey takeaways:Individual AI productivity gains compound into zero enterprise ROI when decisions never write back into a shared systemEvery human approval or correction is training data. The companies that capture it structurally will pull ahead of those that don'tPLG is an acquisition funnel, not a sales motion. Giving it a GM with a revenue number inside product changes the incentives entirelyCredits:Host: Carlos Gonzalez de VillaumbrosiaGuest: Arnab BoseSocial Links:Find out more about Product School hereFollow our Podcast on TikTok hereFollow Product School on LinkedIn here

Leaders Founders behind Ouai, Good Girl Snacks, Heaven Mayhem, Hedley & Bennett, and more share the expensive, embarrassing, and clarifying mistakes that taught them how to build stronger businesses. For more from these leaders click here Subscribe and watch Shopify Masters on YouTube!Sign up for your FREE Shopify Trial here.

Meta is one of the biggest dinosaurs in the park, yet in a matter of months it rebuilt PM top to bottom, and almost none of it was bought. My guest is Jagjit Chawla, a VP of Product at Meta who's running a growing share of the Facebook app: Feed, Reels, and more recently Search. I worked alongside Jagjit for nearly ten years across Google, Credit Karma, and Meta, and almost nothing is as I remember it. These systems were built by the teams themselves, sometimes in a single evening, on tools you already have. Jagjit walks me through how a product org of a few thousand people learned to move like a startup again.Key topics:• Inside Meta's “no-meeting week” that set the org loose on the tools• The one job AI can't take: influencing other humans• Why the PMs winning on Jagjit's team aren't engineers• What to do when you're the bottleneck• How to become an "AI captain"• Triaging tens of thousands of bug reports with agents that validate and pre-write the fix• Why letting AI write code made site incidents spike, and how Meta clamped down• Building a morning brief that flags the decisions only you can make• Why the management "compression algorithm" is dead and what replaced itTimestamps:00:00 Introduction05:47 Why the biggest change is pace07:29 From detailed PRDs to a paragraph, a prototype, and an eval set09:32 Why the management "compression algorithm" is dead10:37 Visibility is high, but synthesis is scarce14:45 "Finding a scissor" when you don't have fancy tools16:10 A morning brief that flags the decisions only you can make22:37 When the agent quietly drops your source links25:53 The one job AI can't take: influencing other humans30:18 Getting an analyst's answer in five minutes, not 24 hours33:33 Three ways AI changed the products, not just the process37:25 Why letting AI write code made site incidents spike40:39 The no-meeting week and the birth of "AI captains"44:55 The world's largest Jenga game: why institutional knowledge wins48:41 Why economics and physics PhDs are "out-PMing" engineers52:14 Ideas and agency before tools56:19 "AI lowers the floor and raises the ceiling"58:40 Closing advice: once you taste it, you can't go backBrought to you by:• Glean—Work AI that works• Framer—Design and build your website effortlessly with Framer AgentsReferenced:• Claude Code• Credit Karma• Facebook• Ferrari• Gmail• Google• Google Chat• Google Drive• Indian Premier League (IPL)• Instagram• Meta• Porsche• Prince of Persia• TikTok• Workplace from Meta• ZoomWhere to find Nikhyl:• Twitter/X• LinkedInWhere to find Jagjit:• LinkedInJoin The Skip:• Skip Coach• Skip CommunityFind The Skip:• Website• Substack• YouTube• Spotify• Apple PodcastsDon't forget to subscribe to The Skip to hear me coach you through timely career lessons. Access exclusive sessions from 100+ top product leaders at skip.coach. If you're interested in joining me on a future call, send me a note on LinkedIn, Threads, or Twitter. You can also email me at nikhyl@skip.community This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit theskip.substack.com

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